E.D. Hussner , S. Sundby , C.B. Outzen , J. Jensen , A. Tingberg , H. Precht
{"title":"智能降噪软件对骨盆数字x线摄影图像质量的影响幻影研究。","authors":"E.D. Hussner , S. Sundby , C.B. Outzen , J. Jensen , A. Tingberg , H. Precht","doi":"10.1016/j.jmir.2024.101814","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>This study aims to evaluate the effects of a novel noise reduction software (INR, Canon Europe, Amsterdam, NL) on image quality (IQ) in Digital Radiography (DR) pelvic phantom images.</div></div><div><h3>Methods</h3><div>In total, 53 pelvic phantom images and 360 technical images of a Contrast Detail Radiography phantom (CDRAD) were collected, including 8 different exposure levels (between 0.8 and 40 mAs at 70 kV) and 6 intensities of INR (ranging from settings 0–10). The pelvic images were evaluated by three reporting radiographers using absolute Visual Grading Analysis (VGA). The CDRAD images were analyzed with a CDRAD computer software.</div></div><div><h3>Results</h3><div>The VGA showed that the images with the INR software had higher IQ than the images with no INR. The observers gave a high VGA score to the images with INR of 3.2 mAs and higher. There was a tendency for an INR level of 5 or 7 to give the highest VGA scores. In addition, the CDRAD study showed a significant improvement in IQ with increasing INR levels at the lower exposure levels.</div></div><div><h3>Conclusion</h3><div>An improvement in overall IQ was seen at lower exposure levels when the INR software was used both for the VGA and the CDRAD study. Clinical tests including patient images need to be performed before implementing INR in practice to verify accurate diagnostic performance.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 2","pages":"Article 101814"},"PeriodicalIF":1.3000,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How does intelligent noise reduction software influence the image quality in pelvic digital radiography; a phantom study\",\"authors\":\"E.D. Hussner , S. Sundby , C.B. Outzen , J. Jensen , A. Tingberg , H. Precht\",\"doi\":\"10.1016/j.jmir.2024.101814\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><div>This study aims to evaluate the effects of a novel noise reduction software (INR, Canon Europe, Amsterdam, NL) on image quality (IQ) in Digital Radiography (DR) pelvic phantom images.</div></div><div><h3>Methods</h3><div>In total, 53 pelvic phantom images and 360 technical images of a Contrast Detail Radiography phantom (CDRAD) were collected, including 8 different exposure levels (between 0.8 and 40 mAs at 70 kV) and 6 intensities of INR (ranging from settings 0–10). The pelvic images were evaluated by three reporting radiographers using absolute Visual Grading Analysis (VGA). The CDRAD images were analyzed with a CDRAD computer software.</div></div><div><h3>Results</h3><div>The VGA showed that the images with the INR software had higher IQ than the images with no INR. The observers gave a high VGA score to the images with INR of 3.2 mAs and higher. There was a tendency for an INR level of 5 or 7 to give the highest VGA scores. In addition, the CDRAD study showed a significant improvement in IQ with increasing INR levels at the lower exposure levels.</div></div><div><h3>Conclusion</h3><div>An improvement in overall IQ was seen at lower exposure levels when the INR software was used both for the VGA and the CDRAD study. Clinical tests including patient images need to be performed before implementing INR in practice to verify accurate diagnostic performance.</div></div>\",\"PeriodicalId\":46420,\"journal\":{\"name\":\"Journal of Medical Imaging and Radiation Sciences\",\"volume\":\"56 2\",\"pages\":\"Article 101814\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2024-12-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Medical Imaging and Radiation Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1939865424005459\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medical Imaging and Radiation Sciences","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1939865424005459","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
How does intelligent noise reduction software influence the image quality in pelvic digital radiography; a phantom study
Introduction
This study aims to evaluate the effects of a novel noise reduction software (INR, Canon Europe, Amsterdam, NL) on image quality (IQ) in Digital Radiography (DR) pelvic phantom images.
Methods
In total, 53 pelvic phantom images and 360 technical images of a Contrast Detail Radiography phantom (CDRAD) were collected, including 8 different exposure levels (between 0.8 and 40 mAs at 70 kV) and 6 intensities of INR (ranging from settings 0–10). The pelvic images were evaluated by three reporting radiographers using absolute Visual Grading Analysis (VGA). The CDRAD images were analyzed with a CDRAD computer software.
Results
The VGA showed that the images with the INR software had higher IQ than the images with no INR. The observers gave a high VGA score to the images with INR of 3.2 mAs and higher. There was a tendency for an INR level of 5 or 7 to give the highest VGA scores. In addition, the CDRAD study showed a significant improvement in IQ with increasing INR levels at the lower exposure levels.
Conclusion
An improvement in overall IQ was seen at lower exposure levels when the INR software was used both for the VGA and the CDRAD study. Clinical tests including patient images need to be performed before implementing INR in practice to verify accurate diagnostic performance.
期刊介绍:
Journal of Medical Imaging and Radiation Sciences is the official peer-reviewed journal of the Canadian Association of Medical Radiation Technologists. This journal is published four times a year and is circulated to approximately 11,000 medical radiation technologists, libraries and radiology departments throughout Canada, the United States and overseas. The Journal publishes articles on recent research, new technology and techniques, professional practices, technologists viewpoints as well as relevant book reviews.